Targeting compression energy in batch process

Batch process is widely used in food, agrochemical, and pharmaceutical industries to generate high-priced fine chemicals. Resource conservation problems such as water minimization, energy minimization and hydrogen management has been extensively explored using mathematical optimization and graphical...

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Autores principales:	Gaurav Shukla, Nitin Dutt Chaturvedi
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Batch process Compression work Gas allocation network Pinch analysis Process integration Renewable energy sources TJ807-830 Environmental engineering TA170-171
Acceso en línea:	https://doaj.org/article/e657e1f1357f470d9582410cffde0d2d
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spelling	oai:doaj.org-article:e657e1f1357f470d9582410cffde0d2d2021-11-10T04:42:31ZTargeting compression energy in batch process2666-790810.1016/j.clet.2021.100315https://doaj.org/article/e657e1f1357f470d9582410cffde0d2d2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666790821002755https://doaj.org/toc/2666-7908Batch process is widely used in food, agrochemical, and pharmaceutical industries to generate high-priced fine chemicals. Resource conservation problems such as water minimization, energy minimization and hydrogen management has been extensively explored using mathematical optimization and graphical methods for the continuous process in the last few decades. On the other hand, resource conservation in batch process is comparatively less focussed. Batch processes require pumping, piping, and capital investment for the transfer of flow within different time intervals in addition to the intra-pressure level requirements. Compression procedures involve huge amounts of energy that are typically supplied by the compressors. A systematic method is needed for calculating minimum compression energy while satisfying the demand in batch gas allocation network (GAN). In this paper, a novel graphical method based on Pinch Analysis for minimization of compression energy in batch GAN while satisfying minimum resource requirement is presented. This methodology applies to any fixed-scheduled batch GAN. Applications of the proposed methodology are illustrated via two examples. In one of the illustrative examples, reduction of 8% in resource requirement and almost 5% in compression energy is observed when compared to the case where integration between intervals is not considered. This demonstrates that the proposed methodology has significant energy as well as resource-saving potential.Gaurav ShuklaNitin Dutt ChaturvediElsevierarticleBatch processCompression workGas allocation networkPinch analysisProcess integrationRenewable energy sourcesTJ807-830Environmental engineeringTA170-171ENCleaner Engineering and Technology, Vol 5, Iss , Pp 100315- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Batch process Compression work Gas allocation network Pinch analysis Process integration Renewable energy sources TJ807-830 Environmental engineering TA170-171
spellingShingle	Batch process Compression work Gas allocation network Pinch analysis Process integration Renewable energy sources TJ807-830 Environmental engineering TA170-171 Gaurav Shukla Nitin Dutt Chaturvedi Targeting compression energy in batch process
description	Batch process is widely used in food, agrochemical, and pharmaceutical industries to generate high-priced fine chemicals. Resource conservation problems such as water minimization, energy minimization and hydrogen management has been extensively explored using mathematical optimization and graphical methods for the continuous process in the last few decades. On the other hand, resource conservation in batch process is comparatively less focussed. Batch processes require pumping, piping, and capital investment for the transfer of flow within different time intervals in addition to the intra-pressure level requirements. Compression procedures involve huge amounts of energy that are typically supplied by the compressors. A systematic method is needed for calculating minimum compression energy while satisfying the demand in batch gas allocation network (GAN). In this paper, a novel graphical method based on Pinch Analysis for minimization of compression energy in batch GAN while satisfying minimum resource requirement is presented. This methodology applies to any fixed-scheduled batch GAN. Applications of the proposed methodology are illustrated via two examples. In one of the illustrative examples, reduction of 8% in resource requirement and almost 5% in compression energy is observed when compared to the case where integration between intervals is not considered. This demonstrates that the proposed methodology has significant energy as well as resource-saving potential.
format	article
author	Gaurav Shukla Nitin Dutt Chaturvedi
author_facet	Gaurav Shukla Nitin Dutt Chaturvedi
author_sort	Gaurav Shukla
title	Targeting compression energy in batch process
title_short	Targeting compression energy in batch process
title_full	Targeting compression energy in batch process
title_fullStr	Targeting compression energy in batch process
title_full_unstemmed	Targeting compression energy in batch process
title_sort	targeting compression energy in batch process
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/e657e1f1357f470d9582410cffde0d2d
work_keys_str_mv	AT gauravshukla targetingcompressionenergyinbatchprocess AT nitinduttchaturvedi targetingcompressionenergyinbatchprocess
_version_	1718440608993902592

Targeting compression energy in batch process

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